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Developed a Microsoft teams clone as a part of Microsoft Engage '21
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
div5252 / TextGAN-PyTorch
Forked from williamSYSU/TextGAN-PyTorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Official git for "CTAB-GAN: Effective Table Data Synthesizing"
Audio style transfer with shallow random parameters CNN.
This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.
[AAAI2023] Repo for the paper ''End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation''.
Code for one-stage adaptive set-based HOI detector AS-Net.
[NeurIPS 2022 Spotlight] RLIP: Relational Language-Image Pre-training and a series of other methods to solve HOI detection and Scene Graph Generation.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
A curated list of materials to prepare for the GRE.
Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"
Code for our CVPR 2022 Paper "GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection"
Code for "Mining the Benefits of Two-stage and One-stage HOI Detection"
Collection of common code that's shared among different research projects in FAIR computer vision team.
A playbook for systematically maximizing the performance of deep learning models.
General purpose unsupervised sentence representations
VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.
🚴♂️ ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection (MM 2020)
Implementation of a Wasserstein Generative Adversarial Network with Gradient Penalty to enforce lipchitz constraint. The WGAN utilizes the wasserstein loss or critic as its loss function instead of…
A resource for learning about Machine learning & Deep Learning
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)